3D plots¶

In [1]:

import plotly.express as px
import plotly.graph_objects as go

import arcadia_pycolor as apc

apc.plotly.setup()

import plotly.express as px import plotly.graph_objects as go import arcadia_pycolor as apc apc.plotly.setup()

1. 3D scatter plot with Plotly Express¶

In [2]:

df = px.data.iris()

fig = px.scatter_3d(
    df,
    x="sepal_length",
    y="sepal_width",
    z="petal_width",
    color="species",
    size="sepal_length",
    color_discrete_map={
        "setosa": apc.aegean,
        "versicolor": apc.amber,
        "virginica": apc.seaweed,
    },
)

apc.plotly.style_plot(fig, monospaced_axes="all")
fig.show()

df = px.data.iris() fig = px.scatter_3d( df, x="sepal_length", y="sepal_width", z="petal_width", color="species", size="sepal_length", color_discrete_map={ "setosa": apc.aegean, "versicolor": apc.amber, "virginica": apc.seaweed, }, ) apc.plotly.style_plot(fig, monospaced_axes="all") fig.show()

2. 3D scatter plot with Plotly Graph Objects¶

In [3]:

fig = go.Figure()

fig.add_trace(
    go.Scatter3d(
        x=df["sepal_length"],
        y=df["sepal_width"],
        z=df["petal_width"],
        mode="markers",
        marker=dict(
            size=5,
            color=df["species"].map(
                {
                    "setosa": apc.aegean,
                    "versicolor": apc.amber,
                    "virginica": apc.seaweed,
                }
            ),
            opacity=0.8,
        ),
        text=df["species"],
        hoverinfo="text",
    )
)

fig.update_layout(
    scene=dict(
        xaxis_title="sepal_length",
        yaxis_title="sepal_width",
        zaxis_title="petal_width",
    ),
    showlegend=False,
)

apc.plotly.style_plot(fig, monospaced_axes="all")
fig.show()

fig = go.Figure() fig.add_trace( go.Scatter3d( x=df["sepal_length"], y=df["sepal_width"], z=df["petal_width"], mode="markers", marker=dict( size=5, color=df["species"].map( { "setosa": apc.aegean, "versicolor": apc.amber, "virginica": apc.seaweed, } ), opacity=0.8, ), text=df["species"], hoverinfo="text", ) ) fig.update_layout( scene=dict( xaxis_title="sepal_length", yaxis_title="sepal_width", zaxis_title="petal_width", ), showlegend=False, ) apc.plotly.style_plot(fig, monospaced_axes="all") fig.show()